| Contactless palm vein recognition using a mutual foreground-based local binary pattern W Kang, Q Wu IEEE transactions on Information Forensics and Security 9 (11), 1974-1985, 2014 | 174 | 2014 |
| A novel finger vein verification system based on two-stream convolutional network learning Y Fang, Q Wu, W Kang Neurocomputing 290, 100-107, 2018 | 155 | 2018 |
| Contact-free palm-vein recognition based on local invariant features W Kang, Y Liu, Q Wu, X Yue PloS one 9 (5), e97548, 2014 | 110 | 2014 |
| Palm vein recognition based on multi-sampling and feature-level fusion X Yan, W Kang, F Deng, Q Wu Neurocomputing 151, 798-807, 2015 | 108 | 2015 |
| Realistic human action recognition with multimodal feature selection and fusion Q Wu, Z Wang, F Deng, Z Chi, DD Feng IEEE Transactions on Systems, Man, and Cybernetics: Systems 43 (4), 875-885, 2013 | 95 | 2013 |
| Fvras-net: An embedded finger-vein recognition and antispoofing system using a unified cnn W Yang, W Luo, W Kang, Z Huang, Q Wu IEEE Transactions on Instrumentation and Measurement 69 (11), 8690-8701, 2020 | 90 | 2020 |
| Self-supervised multi-view stereo via effective co-segmentation and data-augmentation H Xu, Z Zhou, Y Qiao, W Kang, Q Wu Proceedings of the AAAI Conference on Artificial Intelligence 35 (4), 3030-3038, 2021 | 70 | 2021 |
| Finger vein verification using a Siamese CNN S Tang, S Zhou, W Kang, Q Wu, F Deng IET biometrics 8 (5), 306-315, 2019 | 65 | 2019 |
| Generative adversarial network (GAN) based data augmentation for palmprint recognition G Wang, W Kang, Q Wu, Z Wang, J Gao 2018 Digital Image Computing: Techniques and Applications (DICTA), 1-7, 2018 | 64 | 2018 |
| Pose-invariant hand shape recognition based on finger geometry W Kang, Q Wu IEEE Transactions on Systems, Man, and Cybernetics: Systems 44 (11), 1510-1521, 2014 | 47 | 2014 |
| Real‐time vehicle detection with foreground‐based cascade classifier X Zhuang, W Kang, Q Wu IET Image Processing 10 (4), 289-296, 2016 | 42 | 2016 |
| A novel video-based system for in-air signature verification Y Fang, W Kang, Q Wu, L Tang Computers & Electrical Engineering 57, 1-14, 2017 | 41 | 2017 |
| The biometric recognition on contactless multi-spectrum finger images W Kang, X Chen, Q Wu Infrared Physics & Technology 68, 19-27, 2015 | 37 | 2015 |
| A deep clustering via automatic feature embedded learning for human activity recognition T Wang, WWY Ng, J Li, Q Wu, S Zhang, C Nugent, C Shewell IEEE Transactions on Circuits and Systems for Video Technology 32 (1), 210-223, 2021 | 20 | 2021 |
| Realistic human action recognition with audio context Q Wu, Z Wang, F Deng, DD Feng 2010 International Conference on Digital Image Computing: Techniques and …, 2010 | 16 | 2010 |
| Finger vein presentation attack detection using convolutional neural networks X Qiu, S Tian, W Kang, W Jia, Q Wu Biometric Recognition: 12th Chinese Conference, CCBR 2017, Shenzhen, China …, 2017 | 15 | 2017 |
| Visual saliency based global–local feature representation for skin cancer classification F Xiao, Q Wu IET Image Processing 14 (10), 2140-2148, 2020 | 13 | 2020 |
| A new descriptor resistant to affine transformation and monotonic intensity change Z Huang, W Kang, Q Wu, X Chen Computer vision and image understanding 120, 117-125, 2014 | 13 | 2014 |
| A finger vein identification system based on image quality assessment Z Huang, W Kang, Q Wu, J Zhao, W Jia Biometric Recognition: 11th Chinese Conference, CCBR 2016, Chengdu, China …, 2016 | 12 | 2016 |
| Single-scale siamese network based RGB-D object tracking with adaptive bounding boxes F Xiao, Q Wu, H Huang Neurocomputing 451, 192-204, 2021 | 11 | 2021 |
